Tag Archives: wyner

Most CA readers are aware that proxy reconstructions use linear methods and that, accordingly, all the huffing and puffing of complicated multivariate methodologies simply end up assigning a vector of weights. Surprisingly this obvious point was not understood by paleos when I started in this field. Because one can assign a vector of weights, it’s […]

McShane and Wyner, previewed in August, has now been published by Annals of Applied Statistics as a Discussion Paper here with an accompanying editorial by Michael Stein and discussions by 13 different groups (one of which is a short comment by Mc and Mc, with an excellent Rejoinder. BTW using Firefox, I wasn’t able to […]

McShane and Wyner is being published as a “discussion paper” and has attracted numerous submissions so far, including a discussion by Ross and I which has been accepted. As readers have noticed, discussions by Schmidt, Mann and Rutherford and by Tingley are online. Other submissions have been made by Wahl and Ammann and by Nychka […]